Chaudhry, Huma and Mohd. Rahim, Mohd. Shafry and Saba, Tanzila and Rehman, Amjad (2018) Crowd region detection in outdoor scenes using color spaces. International Journal of Modeling, Simulation, and Scientific Computing, 9 (2). p. 1850012. ISSN 1793-9623
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Official URL: http://dx.doi.org/10.1142/S1793962318500125
Abstract
In the last few decades, crowd detection has gained much interest from the research community to assist a variety of applications in surveillance systems. While human detection in partially crowded scenarios have achieved many reliable works, a highly dense crowd-like situation still is far from being solved. Densely crowded scenes offer patterns that could be used to tackle these challenges. This problem is challenging due to the crowd volume, occlusions, clutter and distortion. Crowd region classification is a precursor to several types of applications. In this paper, we propose a novel approach for crowd region detection in outdoor densely crowded scenarios based on color variation context and RGB channel dissimilarity. Experimental results are presented to demonstrate the effectiveness of the new color-based features for better crowd region detection.
Item Type: | Article |
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Uncontrolled Keywords: | Crowd detection, segmentation |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computing |
ID Code: | 85631 |
Deposited By: | Widya Wahid |
Deposited On: | 07 Jul 2020 05:00 |
Last Modified: | 07 Jul 2020 05:00 |
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